Blockchain-Enabled Privacy-Preserving Access Control for Data Publishing and Sharing in the Internet of Medical Things

Wang, Shupeng; Wu, Guangjun; Ning, Zhaolong; Li, Jun

doi:10.1109/jiot.2021.3138104

Cited by 37 publications

(19 citation statements)

References 26 publications

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“…However, an EMR has several sensitive properties that some unauthorized users might access for malevolent reasons. Wang et al [19] presented an access control technique compatible with a blockchain-based transaction system. Moreover, they designed a privacy-preserving framework for access control.…”

Section: Literature Reviewmentioning

confidence: 99%

BIoMT: A Blockchain-Enabled Healthcare Architecture for Information Security in the Internet of Medical Things

Badri¹,

Jan²,

Alghazzawi³

et al. 2023

Computer Systems Science and Engineering

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Rapid technological advancement has enabled modern healthcare systems to provide more sophisticated and real-time services on the Internet of Medical Things (IoMT). The existing cloud-based, centralized IoMT architectures are vulnerable to multiple security and privacy problems. The blockchain-enabled IoMT is an emerging paradigm that can ensure the security and trustworthiness of medical data sharing in the IoMT networks. This article presents a private and easily expandable blockchain-based framework for the IoMT. The proposed framework contains several participants, including private blockchain, hospital management systems, cloud service providers, doctors, and patients. Data security is ensured by incorporating an attributebased encryption scheme. Furthermore, an IoT-friendly consensus algorithm is deployed to ensure fast block validation and high scalability in the IoMT network. The proposed framework can perform multiple healthcare-related services in a secure and trustworthy manner. The performance of blockchain read/write operations is evaluated in terms of transaction throughput and latency. Experimental outcomes indicate that the proposed scheme achieved an average throughput of 857 TPS and 151 TPS for read and write operations. The average latency is 61 ms and 16 ms for read and write operations, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

BIoMT: A Blockchain-Enabled Healthcare Architecture for Information Security in the Internet of Medical Things

Badri¹,

Jan²,

Alghazzawi³

et al. 2023

Computer Systems Science and Engineering

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“…In 2018, some information was noted from the health department and human service office for Civil Rights [ 11 ]. Usually, the data exchanged in-between the health maintenance and medical detectors are centralized by an unauthorized server [ 12 ]. Blockchain technology can also address ordinary health care because of its unchangeable nature [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

An intelligent blockchain strategy for decentralised healthcare framework

Goel

Neduncheliyan

2023

Peer-to-Peer Netw. Appl.

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Nowadays, securely sharing medical data is one of the significant concerns in blockchain technology. The existing blockchain approaches have faced high time consumption, low confidentiality, and high memory usage for transferring the file in a secure way because of attack harmfulness and large unstructured records. It has ended in security threat, so the integrity of the user data has been lost. Hence, a novel hybrid Deep Belief-based Diffie Hellman (DBDH) security framework was presented to protect medical data from malicious events. Incorporating a deep belief neural system continuously monitors the system and identifies the attacks. Initially, the IoMT dataset was collected from the standard site and imported into the system. Moreover, hash 1 was calculated for the original data and stored in the cloud server for verification. Then, the original data was encrypted with a private key for data hiding. The incorporation of homomorphic property helps to calculate hash 2 for encrypted data. Finally, in the verification module, both hash values are verified. In addition, cryptanalysis was performed by launching an attack to validate the performance of the designed model. Moreover, the estimated outcomes of the presented model were compared with existing approaches to determine the improvement score.

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“…CP-ABE organizes PHR and stores it in a secure way for further processes. CP-ABE secures PHR from third-party members to enhance the e ciency and performance range of medical healthcare centres [9]. patient's details from the database.…”

Section: Introductionmentioning

confidence: 99%

Securing and privacy preserving for electronic health records using two-phased scheme

Arulmozhi

P.D.S.

2023

Preprint

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Patient medical data are stored as Electronic Health Records (EHRs) in the cloud for decentralized clinical access. Information related to a patient’s health, diagnosis, and medication is vital for which individual privacy and security are vital considerations. This article introduces a Two-Phased Privacy Preserving Security Scheme (TP3SS) for EHR stored in clouds. The proposed scheme offers secure access control and attribute-based encryption for privacy-preserving and preventing data falsification. Secure access control is achieved by establishing mutual key-dependent smart contracts between the user, doctors and the EHR storage. The key authentication is provided using record-related attribute encryption that is valid within the contract period. The access and key validity are confined to the smart contract allocated interval by verifying the user identity. Here validity verification and access confinement are pursued using ledge-stored user information. The validation occurs for ensuring the EHR and user attributes are mapped together in the current and previous smart contract access sessions. In the record management process, Hyperledger fabric blockchain is used for preventing internal computation complexities. Similarly, the attribute that is inferred by the Hyperledger fabric blockchain in the current access session is alone used for a key generation; used for accessing and sharing the records. This process prevents the entry of adversary access and improves the security level under controlled complexity.

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Blockchain-Enabled Privacy-Preserving Access Control for Data Publishing and Sharing in the Internet of Medical Things

Cited by 37 publications

References 26 publications

BIoMT: A Blockchain-Enabled Healthcare Architecture for Information Security in the Internet of Medical Things

BIoMT: A Blockchain-Enabled Healthcare Architecture for Information Security in the Internet of Medical Things

An intelligent blockchain strategy for decentralised healthcare framework

Securing and privacy preserving for electronic health records using two-phased scheme

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